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Ernst Th Scholten

Showing results (1-10 of 29) with videos related to

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Medical Physics|April 7, 2022
Automated estimation of total lung volume using chest radiographs and deep learningEcem Sogancioglu, Keelin Murphy, Ernst Th Scholten, et al.
European Radiology|June 4, 2016
Subsolid pulmonary nodule morphology and associated patient characteristics in a routine clinical populationOnno M Mets, Pim A de Jong, Ernst Th Scholten, et al.
IEEE Transactions on Medical Imaging|November 25, 2014
Bag-of-frequencies: a descriptor of pulmonary nodules in computed tomography imagesFrancesco Ciompi, Colin Jacobs, Ernst Th Scholten, et al.
Investigative Radiology|December 6, 2014
Solid, part-solid, or non-solid?: classification of pulmonary nodules in low-dose chest computed tomography by a computer-aided diagnosis systemColin Jacobs, Eva M van Rikxoort, Ernst Th Scholten, et al.
European Radiology|September 5, 2014
Computed tomographic characteristics of interval and post screen carcinomas in lung cancer screeningErnst Th Scholten, Nanda Horeweg, Harry J de Koning, et al.
European Radiology|July 15, 2025
Performance of a screening-trained DL model for pulmonary nodule malignancy estimation of incidental clinical nodulesRenate Dinnessen, Dré Peeters, Noa Antonissen, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|April 20, 2013
Non-solid lung nodules on low-dose computed tomography: comparison of detection rate between 3 visualization techniquesErnst Th Scholten, Willem P Th M Mali, Mathias Prokop, et al.
European Radiology|October 8, 2017
Incidental perifissural nodules on routine chest computed tomography: lung cancer or not?Onno M Mets, Kaman Chung, Ernst Th Scholten, et al.
Medical Image Analysis|October 13, 2015
Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-boxFrancesco Ciompi, Bartjan de Hoop, Sarah J van Riel, et al.
European Radiology|March 16, 2017
Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelinesSarah J van Riel, Francesco Ciompi, Colin Jacobs, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Medical Physics|April 7, 2022
Automated estimation of total lung volume using chest radiographs and deep learningEcem Sogancioglu, Keelin Murphy, Ernst Th Scholten, et al.
European Radiology|June 4, 2016
Subsolid pulmonary nodule morphology and associated patient characteristics in a routine clinical populationOnno M Mets, Pim A de Jong, Ernst Th Scholten, et al.
IEEE Transactions on Medical Imaging|November 25, 2014
Bag-of-frequencies: a descriptor of pulmonary nodules in computed tomography imagesFrancesco Ciompi, Colin Jacobs, Ernst Th Scholten, et al.
Investigative Radiology|December 6, 2014
Solid, part-solid, or non-solid?: classification of pulmonary nodules in low-dose chest computed tomography by a computer-aided diagnosis systemColin Jacobs, Eva M van Rikxoort, Ernst Th Scholten, et al.
European Radiology|September 5, 2014
Computed tomographic characteristics of interval and post screen carcinomas in lung cancer screeningErnst Th Scholten, Nanda Horeweg, Harry J de Koning, et al.
European Radiology|July 15, 2025
Performance of a screening-trained DL model for pulmonary nodule malignancy estimation of incidental clinical nodulesRenate Dinnessen, Dré Peeters, Noa Antonissen, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|April 20, 2013
Non-solid lung nodules on low-dose computed tomography: comparison of detection rate between 3 visualization techniquesErnst Th Scholten, Willem P Th M Mali, Mathias Prokop, et al.
European Radiology|October 8, 2017
Incidental perifissural nodules on routine chest computed tomography: lung cancer or not?Onno M Mets, Kaman Chung, Ernst Th Scholten, et al.
Medical Image Analysis|October 13, 2015
Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-boxFrancesco Ciompi, Bartjan de Hoop, Sarah J van Riel, et al.
European Radiology|March 16, 2017
Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelinesSarah J van Riel, Francesco Ciompi, Colin Jacobs, et al.
Pageof 3